Face Alignment On Wfw Extra Data
Métriques
AUC@10 (inter-ocular)
FR@10 (inter-ocular)
NME (inter-ocular)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | AUC@10 (inter-ocular) | FR@10 (inter-ocular) | NME (inter-ocular) |
|---|---|---|---|
| adaptive-wing-loss-for-robust-face-alignment | 57.19 | 2.84 | 4.36 |
| sparse-local-patch-transformer-for-robust | 59.50 | 2.76 | 4.14 |
| pre-training-strategies-and-datasets-for | - | - | 4.57 |
| anchorface-an-anchor-based-facial-landmark | 57.69 | 2.96 | 4.32 |
| atf-towards-robust-face-alignment-via | - | - | 4.49 |
| shape-preserving-facial-landmarks-with-graph | 60.56 | 2.08 | 4.06 |
| general-facial-representation-learning-in-a | 61.16 | 1.76 | 3.96 |
| adnet-attention-guided-deformable | 60.22 | 2.72 | 4.14 |
| subpixel-heatmap-regression-for-facial | 63.1 | 1.55 | 3.72 |
| luvli-face-alignment-estimating-landmarks | 57.7 | 3.12 | 4.37 |
| hih-towards-more-accurate-face-alignment-via | 60.50 | 2.60 | 4.08 |